Applied AIML Data Scientist Lead-Vice President

Advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics)
At least 5 years of relevant experience in applied AI/ML domain
In-depth expertise and extensive experience with ML projects, both supervised and unsupervised
Strong programming skills with Python, R, or other equivalent languages
Proficient in working with large datasets and handling complex data issues
Experience with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, XGBoost, graph analytics, and neural nets
Excellent solution ideation, problem solving, communication (verbal and written), and teamwork skills

Actively develop thorough understanding of complex business problems and processes; discover opportunities for AI and ML solutions
Collaborate with business partners to drive data-led transformations of the businesses
Own machine learning development lifecycle activities and execute on crucial timelines and milestones
Lead tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection
Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience
Provide mentorship and oversight for junior data scientists to build a collaborative working culture
Partner with machine learning engineers to deploy machine learning solutions
Own key model maintenance tasks and lead remediation actions as needed
Stay informed about the latest trends in the AI/ML/LLM/GenAI research and operate with a continuous-improvement mindset

Familiarity with machine learning engineering and developing/implementing machine learning models within AWS or other cloud platforms
Familiarity with the financial services industry